Overview

Dataset statistics

Number of variables46
Number of observations548127
Missing cells2559845
Missing cells (%)10.2%
Duplicate rows4866
Duplicate rows (%)0.9%
Total size in memory192.4 MiB
Average record size in memory368.0 B

Variable types

CAT24
NUM22

Warnings

Dataset has 4866 (0.9%) duplicate rows Duplicates
UNIDADE_FEDERATIVA_CURSO is highly correlated with MUNICIPIO_CURSO and 1 other fieldsHigh correlation
MUNICIPIO_CURSO is highly correlated with UNIDADE_FEDERATIVA_CURSO and 1 other fieldsHigh correlation
REGIAO_CURSO is highly correlated with MUNICIPIO_CURSO and 1 other fieldsHigh correlation
ESTADO_CIVIL_ESTUDANTE has 62619 (11.4%) missing values Missing
COR_RACA_ESTUDANTE has 62618 (11.4%) missing values Missing
ESCOLARIDADE_PAI_ESTUDANTE has 62618 (11.4%) missing values Missing
ESCOLARIDADE_MAE_ESTUDANTE has 62618 (11.4%) missing values Missing
RESIDENCIA_ESTUDANTE has 62618 (11.4%) missing values Missing
COMPANHIA_RESIDENCIA_ESTUDANTE has 62618 (11.4%) missing values Missing
RENDA_FAMILIA_ESTUDANTE has 62618 (11.4%) missing values Missing
SITUACAO_FINANCEIRA_ESTUDANTE has 62618 (11.4%) missing values Missing
SITUACAO_TRABALHO_ESTUDANTE has 62618 (11.4%) missing values Missing
BOLSA_ESTUDO_ESTUDANTE has 62618 (11.4%) missing values Missing
AUXILIO_PERMANENCIA_ESTUDANTE has 62618 (11.4%) missing values Missing
BOLSA_ACADEMICA_ESTUDANTE has 62618 (11.4%) missing values Missing
ACAO_AFIRMATIVA_ESTUDANTE has 62618 (11.4%) missing values Missing
UNIDADE_FEDERATIVA_ESC_ENS_MEDIO has 62618 (11.4%) missing values Missing
CATEGORIA_ESCOLA_ENS_MEDIO has 62618 (11.4%) missing values Missing
MODALIDADE_ENS_MEDIO has 62618 (11.4%) missing values Missing
INCENTIVO_CURSO has 62618 (11.4%) missing values Missing
APOIO_DIFICULDADES_ESTUDANTE has 62618 (11.4%) missing values Missing
CURSO_SUPERIOR_FAMILIA has 62618 (11.4%) missing values Missing
HORAS_ESTUDO_SEMANA_ESTUDANTE has 62618 (11.4%) missing values Missing
MOTIVO_ESCOLHA_CURSO has 62618 (11.4%) missing values Missing
MOTIVO_ESCOLHA_IES has 310878 (56.7%) missing values Missing
RELACAO_PROFESSOR_ALUNO has 69537 (12.7%) missing values Missing
DEDICACAO_ESTUDOS has 65972 (12.0%) missing values Missing
UTILIZACAO_TICS has 77333 (14.1%) missing values Missing
QTDE_FUNCIONARIOS_IES has 74628 (13.6%) missing values Missing
PESSOAL_APOIO_IES has 94765 (17.3%) missing values Missing
INFRAESTRUTURA_SALAS_IES has 73402 (13.4%) missing values Missing
RECURSOS_AULAS_PRATICAS has 103707 (18.9%) missing values Missing
LOCAIS_AULAS_PRATICAS has 110692 (20.2%) missing values Missing
RECURSOS_BIBLIOTECA_IES has 80579 (14.7%) missing values Missing
BIBLIOTECA_VIRTUAL has 103082 (18.8%) missing values Missing
INFRAESTRUTURA_GERAL_IES has 80283 (14.6%) missing values Missing
ANO_CONCLUSAO_ENS_MEDIO is highly skewed (γ1 = -81.20663221) Skewed

Reproduction

Analysis started2020-10-06 09:44:49.043377
Analysis finished2020-10-06 09:52:59.784036
Duration8 minutes and 10.74 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

CODIGO_IES
Real number (ℝ≥0)

Distinct1762
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1505.26814
Minimum1
Maximum23410
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:52:59.963134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24
Q1322
median670
Q31561
95-th percentile4724
Maximum23410
Range23409
Interquartile range (IQR)1239

Descriptive statistics

Standard deviation2531.483186
Coefficient of variation (CV)1.681748997
Kurtosis22.5547673
Mean1505.26814
Median Absolute Deviation (MAD)507
Skewness4.405747281
Sum825078110
Variance6408407.121
MonotocityNot monotonic
2020-10-06T06:53:00.398685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
163247074.5%
 
322233104.3%
 
298183043.3%
 
1491114442.1%
 
31695841.7%
 
147283461.5%
 
37456251.0%
 
46654941.0%
 
110746400.8%
 
33846030.8%
 
Other values (1752)43207078.8%
 
ValueCountFrequency (%) 
16230.1%
 
218540.3%
 
311550.2%
 
47920.1%
 
514760.3%
 
ValueCountFrequency (%) 
23410154< 0.1%
 
2047831< 0.1%
 
1986321< 0.1%
 
1986219< 0.1%
 
1986119< 0.1%
 

CATEGORIA_ADMINISTRATIVA_IES
Real number (ℝ≥0)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7959.837047
Minimum93
Maximum17634
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:00.601761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile118
Q110002
median10005
Q310007
95-th percentile10008
Maximum17634
Range17541
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4030.07443
Coefficient of variation (CV)0.5063011222
Kurtosis0.08510810706
Mean7959.837047
Median Absolute Deviation (MAD)3
Skewness-1.409236876
Sum4363001601
Variance16241499.91
MonotocityNot monotonic
2020-10-06T06:53:00.804843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
1000522151540.4%
 
1000812738523.2%
 
1186850312.5%
 
10002421317.7%
 
121246084.5%
 
10007169793.1%
 
10001151012.8%
 
11598831.8%
 
1000363401.2%
 
9360231.1%
 
Other values (5)96591.8%
 
ValueCountFrequency (%) 
9360231.1%
 
11598831.8%
 
11618990.3%
 
1186850312.5%
 
12031040.6%
 
ValueCountFrequency (%) 
176348110.1%
 
1000910320.2%
 
1000812738523.2%
 
10007169793.1%
 
1000628130.5%
 

ORGANIZACAO_ACADEMICA_IES
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10024.39377
Minimum10019
Maximum10028
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:01.010806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10019
5-th percentile10020
Q110022
median10022
Q310028
95-th percentile10028
Maximum10028
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.530984724
Coefficient of variation (CV)0.000352239228
Kurtosis-1.84093406
Mean10024.39377
Median Absolute Deviation (MAD)2
Skewness-0.04734146256
Sum5494640885
Variance12.46785312
MonotocityNot monotonic
2020-10-06T06:53:01.198261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
1002826052147.5%
 
1002215048627.5%
 
1002013306024.3%
 
1002638950.7%
 
10019165< 0.1%
 
ValueCountFrequency (%) 
10019165< 0.1%
 
1002013306024.3%
 
1002215048627.5%
 
1002638950.7%
 
1002826052147.5%
 
ValueCountFrequency (%) 
1002826052147.5%
 
1002638950.7%
 
1002215048627.5%
 
1002013306024.3%
 
10019165< 0.1%
 

CODIGO_CURSO
Real number (ℝ≥0)

Distinct8813
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330678.3843
Minimum1
Maximum5001389
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:01.421057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5275
Q120762
median77713
Q3116140
95-th percentile1268886
Maximum5001389
Range5001388
Interquartile range (IQR)95378

Descriptive statistics

Standard deviation689785.4159
Coefficient of variation (CV)2.085970685
Kurtosis24.06280309
Mean330678.3843
Median Absolute Deviation (MAD)45831
Skewness4.245994273
Sum1.812537507e+11
Variance4.7580392e+11
MonotocityNot monotonic
2020-10-06T06:53:01.655417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9798078971.4%
 
9799047000.9%
 
9798245840.8%
 
12129736080.7%
 
11172027270.5%
 
12109326700.5%
 
10032624520.4%
 
794020100.4%
 
118592818090.3%
 
10029617730.3%
 
Other values (8803)51389793.8%
 
ValueCountFrequency (%) 
182< 0.1%
 
229< 0.1%
 
732< 0.1%
 
875< 0.1%
 
13122< 0.1%
 
ValueCountFrequency (%) 
500138924< 0.1%
 
50013842790.1%
 
500138217< 0.1%
 
500138019< 0.1%
 
500137911< 0.1%
 

MODALIDADE_CURSO
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
1
451200 
2
96927 
ValueCountFrequency (%) 
145120082.3%
 
29692717.7%
 
2020-10-06T06:53:01.901608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:02.065636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:02.253091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

MUNICIPIO_CURSO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct761
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3465789.662
Minimum1100023
Maximum5300108
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:02.459139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1100023
5-th percentile1721000
Q13106200
median3530607
Q34113205
95-th percentile5201108
Maximum5300108
Range4200085
Interquartile range (IQR)1007005

Descriptive statistics

Standard deviation870451.4364
Coefficient of variation (CV)0.2511552983
Kurtosis0.3602177502
Mean3465789.662
Median Absolute Deviation (MAD)576295
Skewness-0.1925554517
Sum1.89969289e+12
Variance7.576857031e+11
MonotocityNot monotonic
2020-10-06T06:53:02.709041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
35503086708912.2%
 
3304557354466.5%
 
4106902226814.1%
 
4113700204793.7%
 
3106200153622.8%
 
2304400136562.5%
 
5300108132422.4%
 
2927408120292.2%
 
261160698051.8%
 
420750283461.5%
 
Other values (751)32999260.2%
 
ValueCountFrequency (%) 
1100023162< 0.1%
 
11000494890.1%
 
110010626< 0.1%
 
110011450< 0.1%
 
11001224030.1%
 
ValueCountFrequency (%) 
5300108132422.4%
 
5221858104< 0.1%
 
522160145< 0.1%
 
5221403147< 0.1%
 
522060326< 0.1%
 

UNIDADE_FEDERATIVA_CURSO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.47283932
Minimum11
Maximum53
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:02.912118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile17
Q131
median35
Q341
95-th percentile52
Maximum53
Range42
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.702385907
Coefficient of variation (CV)0.2524418086
Kurtosis0.3482478355
Mean34.47283932
Median Absolute Deviation (MAD)6
Skewness-0.1508003737
Sum18895494
Variance75.73152048
MonotocityNot monotonic
2020-10-06T06:53:03.135000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
3514164125.8%
 
416492811.8%
 
335462610.0%
 
31486078.9%
 
43307695.6%
 
42275025.0%
 
29209103.8%
 
26188353.4%
 
23175523.2%
 
52151352.8%
 
Other values (17)10762219.6%
 
ValueCountFrequency (%) 
1130580.6%
 
1212920.2%
 
1384461.5%
 
1414060.3%
 
1582601.5%
 
ValueCountFrequency (%) 
53132422.4%
 
52151352.8%
 
5175361.4%
 
5092911.7%
 
43307695.6%
 

REGIAO_CURSO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.107015345
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:03.338075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9623325594
Coefficient of variation (CV)0.3097289368
Kurtosis-0.1275607103
Mean3.107015345
Median Absolute Deviation (MAD)1
Skewness0.003013031627
Sum1703039
Variance0.926083955
MonotocityNot monotonic
2020-10-06T06:53:03.529602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
325223746.0%
 
412319922.5%
 
210002518.2%
 
5452048.2%
 
1274625.0%
 
ValueCountFrequency (%) 
1274625.0%
 
210002518.2%
 
325223746.0%
 
412319922.5%
 
5452048.2%
 
ValueCountFrequency (%) 
5452048.2%
 
412319922.5%
 
325223746.0%
 
210002518.2%
 
1274625.0%
 

IDADE_ESTUDANTE
Real number (ℝ≥0)

Distinct74
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.35259164
Minimum4
Maximum94
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:03.763880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile21
Q123
median26
Q333
95-th percentile47
Maximum94
Range90
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.233140096
Coefficient of variation (CV)0.2804910788
Kurtosis2.319087268
Mean29.35259164
Median Absolute Deviation (MAD)4
Skewness1.515580824
Sum16088948
Variance67.78459583
MonotocityNot monotonic
2020-10-06T06:53:04.002606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
236686012.2%
 
22540709.9%
 
24537309.8%
 
25407767.4%
 
26325185.9%
 
27278845.1%
 
28239574.4%
 
29212303.9%
 
21206903.8%
 
30196403.6%
 
Other values (64)18677234.1%
 
ValueCountFrequency (%) 
41< 0.1%
 
51< 0.1%
 
111< 0.1%
 
121< 0.1%
 
141< 0.1%
 
ValueCountFrequency (%) 
942< 0.1%
 
861< 0.1%
 
851< 0.1%
 
834< 0.1%
 
813< 0.1%
 

SEXO_ESTUDANTE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
F
325579 
M
222548 
ValueCountFrequency (%) 
F32557959.4%
 
M22254840.6%
 
2020-10-06T06:53:04.360366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:04.516583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:04.708325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ANO_CONCLUSAO_ENS_MEDIO
Real number (ℝ≥0)

SKEWED

Distinct104
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2008.260728
Minimum0
Maximum2686
Zeros4
Zeros (%)< 0.1%
Memory size4.2 MiB
2020-10-06T06:53:04.911402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1995
Q12006
median2011
Q32013
95-th percentile2014
Maximum2686
Range2686
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.758839083
Coefficient of variation (CV)0.004859348663
Kurtosis14866.96602
Mean2008.260728
Median Absolute Deviation (MAD)3
Skewness-81.20663221
Sum1100781928
Variance95.23494024
MonotocityNot monotonic
2020-10-06T06:53:05.149767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20139444117.2%
 
20126323711.5%
 
20145465110.0%
 
2011429397.8%
 
2010384317.0%
 
2009282355.2%
 
2008243234.4%
 
2007204013.7%
 
2006182523.3%
 
2005166053.0%
 
Other values (94)14661226.7%
 
ValueCountFrequency (%) 
04< 0.1%
 
10001< 0.1%
 
10122< 0.1%
 
10132< 0.1%
 
10921< 0.1%
 
ValueCountFrequency (%) 
26861< 0.1%
 
25351< 0.1%
 
22221< 0.1%
 
22081< 0.1%
 
22071< 0.1%
 

ANO_INICIO_GRADUACAO
Real number (ℝ≥0)

Distinct45
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2014.307055
Minimum1973
Maximum2099
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:05.384051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1973
5-th percentile2011
Q12014
median2014
Q32015
95-th percentile2017
Maximum2099
Range126
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.99369831
Coefficient of variation (CV)0.0009897688165
Kurtosis51.01611843
Mean2014.307055
Median Absolute Deviation (MAD)1
Skewness-1.12133642
Sum1104088026
Variance3.974832951
MonotocityNot monotonic
2020-10-06T06:53:05.621295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%) 
201417070731.1%
 
201515375128.1%
 
20175606110.2%
 
20135559910.1%
 
2016444428.1%
 
2012248954.5%
 
2011135022.5%
 
201878881.4%
 
201076421.4%
 
200945420.8%
 
Other values (35)90941.7%
 
ValueCountFrequency (%) 
19731< 0.1%
 
19782< 0.1%
 
19791< 0.1%
 
19821< 0.1%
 
19832< 0.1%
 
ValueCountFrequency (%) 
20993< 0.1%
 
20982< 0.1%
 
20971< 0.1%
 
20931< 0.1%
 
20221< 0.1%
 

TURNO_CURSO
Categorical

Distinct4
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size4.2 MiB
4
392803 
1
91041 
3
47907 
2
 
16372
ValueCountFrequency (%) 
439280371.7%
 
19104116.6%
 
3479078.7%
 
2163723.0%
 
(Missing)4< 0.1%
 
2020-10-06T06:53:05.855615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:06.027485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:06.234668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

ESTADO_CIVIL_ESTUDANTE
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing62619
Missing (%)11.4%
Memory size4.2 MiB
A
343819 
B
107293 
E
 
16893
C
 
16006
D
 
1497
ValueCountFrequency (%) 
A34381962.7%
 
B10729319.6%
 
E168933.1%
 
C160062.9%
 
D14970.3%
 
(Missing)6261911.4%
 
2020-10-06T06:53:06.453400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:06.625198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:06.832472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228483545
Min length1

COR_RACA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
261439 
D
157961 
B
44068 
C
 
11503
F
 
9059
ValueCountFrequency (%) 
A26143947.7%
 
D15796128.8%
 
B440688.0%
 
C115032.1%
 
F90591.7%
 
E14790.3%
 
(Missing)6261811.4%
 
2020-10-06T06:53:07.066788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:07.242765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:07.461407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

ESCOLARIDADE_PAI_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
D
150085 
B
131096 
C
74507 
E
66575 
A
39995 
ValueCountFrequency (%) 
D15008527.4%
 
B13109623.9%
 
C7450713.6%
 
E6657512.1%
 
A399957.3%
 
F232514.2%
 
(Missing)6261811.4%
 
2020-10-06T06:53:07.680108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:07.870487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:08.104760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

ESCOLARIDADE_MAE_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
D
160920 
B
111494 
C
75271 
E
69706 
F
38458 
ValueCountFrequency (%) 
D16092029.4%
 
B11149420.3%
 
C7527113.7%
 
E6970612.7%
 
F384587.0%
 
A296605.4%
 
(Missing)6261811.4%
 
2020-10-06T06:53:08.327550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:08.515005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:08.878382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

RESIDENCIA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
B
265862 
C
145562 
A
51280 
D
 
19538
F
 
2566
ValueCountFrequency (%) 
B26586248.5%
 
C14556226.6%
 
A512809.4%
 
D195383.6%
 
F25660.5%
 
E7010.1%
 
(Missing)6261811.4%
 
2020-10-06T06:53:09.112703image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:09.284535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:09.506167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1
Distinct8
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
D
117356 
C
115905 
B
83534 
E
64896 
A
60440 
Other values (3)
43378 
ValueCountFrequency (%) 
D11735621.4%
 
C11590521.1%
 
B8353415.2%
 
E6489611.8%
 
A6044011.0%
 
F268454.9%
 
G96701.8%
 
H68631.3%
 
(Missing)6261811.4%
 
2020-10-06T06:53:09.724865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:09.900858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:10.150762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

RENDA_FAMILIA_ESTUDANTE
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
B
133511 
C
105378 
A
94125 
E
54970 
D
54436 
Other values (2)
43089 
ValueCountFrequency (%) 
B13351124.4%
 
C10537819.2%
 
A9412517.2%
 
E5497010.0%
 
D544369.9%
 
F349966.4%
 
G80931.5%
 
(Missing)6261811.4%
 
2020-10-06T06:53:10.383372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:10.545414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:10.779700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1
Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
C
133967 
B
106041 
E
100929 
D
60712 
F
46702 
ValueCountFrequency (%) 
C13396724.4%
 
B10604119.3%
 
E10092918.4%
 
D6071211.1%
 
F467028.5%
 
A371586.8%
 
(Missing)6261811.4%
 
2020-10-06T06:53:11.017004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:11.188839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:11.424655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

SITUACAO_TRABALHO_ESTUDANTE
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
E
208019 
A
167915 
D
54180 
B
28634 
C
26761 
ValueCountFrequency (%) 
E20801938.0%
 
A16791530.6%
 
D541809.9%
 
B286345.2%
 
C267614.9%
 
(Missing)6261811.4%
 
2020-10-06T06:53:11.645938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:11.817772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:12.040596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

BOLSA_ESTUDO_ESTUDANTE
Categorical

MISSING

Distinct11
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
B
176061 
E
89113 
A
76035 
H
45518 
C
42369 
Other values (6)
56413 
ValueCountFrequency (%) 
B17606132.1%
 
E8911316.3%
 
A7603513.9%
 
H455188.3%
 
C423697.7%
 
I160002.9%
 
G131162.4%
 
D106051.9%
 
J85181.6%
 
F54921.0%
 
(Missing)6261811.4%
 
2020-10-06T06:53:12.274918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:12.496503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1
Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
467694 
F
 
7224
E
 
4002
C
 
3467
D
 
1634
ValueCountFrequency (%) 
A46769485.3%
 
F72241.3%
 
E40020.7%
 
C34670.6%
 
D16340.3%
 
B14880.3%
 
(Missing)6261811.4%
 
2020-10-06T06:53:12.699584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:12.871416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:13.109874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

BOLSA_ACADEMICA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
428875 
F
 
32030
B
 
10360
D
 
6839
C
 
6379
ValueCountFrequency (%) 
A42887578.2%
 
F320305.8%
 
B103601.9%
 
D68391.2%
 
C63791.2%
 
E10260.2%
 
(Missing)6261811.4%
 
2020-10-06T06:53:13.328613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:13.484788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:13.707594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

ACAO_AFIRMATIVA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
380154 
C
 
35502
D
 
32602
E
 
21877
F
 
8547
ValueCountFrequency (%) 
A38015469.4%
 
C355026.5%
 
D326025.9%
 
E218774.0%
 
F85471.6%
 
B68271.2%
 
(Missing)6261811.4%
 
2020-10-06T06:53:14.085441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:14.257280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:14.475976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

UNIDADE_FEDERATIVA_ESC_ENS_MEDIO
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean33.12336126
Minimum11
Maximum99
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:14.698801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q128
median33
Q341
95-th percentile52
Maximum99
Range88
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.4795781
Coefficient of variation (CV)0.3163802736
Kurtosis5.041989262
Mean33.12336126
Median Absolute Deviation (MAD)6
Skewness0.7439197439
Sum16081690
Variance109.8215571
MonotocityNot monotonic
2020-10-06T06:53:14.917500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
3510807319.7%
 
31510559.3%
 
33447858.2%
 
43336126.1%
 
41315765.8%
 
29242864.4%
 
42207063.8%
 
23182833.3%
 
26176003.2%
 
52149752.7%
 
Other values (18)12055822.0%
 
(Missing)6261811.4%
 
ValueCountFrequency (%) 
1141800.8%
 
12139962.6%
 
1381401.5%
 
1415090.3%
 
15124102.3%
 
ValueCountFrequency (%) 
9918080.3%
 
53105801.9%
 
52149752.7%
 
5178091.4%
 
5050870.9%
 

CATEGORIA_ESCOLA_ENS_MEDIO
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
325554 
B
114582 
D
 
24111
E
 
19358
F
 
1402
ValueCountFrequency (%) 
A32555459.4%
 
B11458220.9%
 
D241114.4%
 
E193583.5%
 
F14020.3%
 
C5020.1%
 
(Missing)6261811.4%
 
2020-10-06T06:53:15.152085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:15.312118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:15.546473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

MODALIDADE_ENS_MEDIO
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
403795 
B
 
39022
D
 
28972
C
 
8665
E
 
5055
ValueCountFrequency (%) 
A40379573.7%
 
B390227.1%
 
D289725.3%
 
C86651.6%
 
E50550.9%
 
(Missing)6261811.4%
 
2020-10-06T06:53:15.784951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:15.956750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:16.175485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

INCENTIVO_CURSO
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
B
277569 
A
106312 
C
45122 
F
 
26554
G
 
19289
Other values (2)
 
10663
ValueCountFrequency (%) 
B27756950.6%
 
A10631219.4%
 
C451228.2%
 
F265544.8%
 
G192893.5%
 
D77881.4%
 
E28750.5%
 
(Missing)6261811.4%
 
2020-10-06T06:53:16.397010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:16.584470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:16.807363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1
Distinct11
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
C
168985 
A
154153 
G
44797 
K
37173 
B
32156 
Other values (6)
48245 
ValueCountFrequency (%) 
C16898530.8%
 
A15415328.1%
 
G447978.2%
 
K371736.8%
 
B321565.9%
 
H171833.1%
 
E114702.1%
 
J76341.4%
 
D72481.3%
 
F25530.5%
 
(Missing)6261811.4%
 
2020-10-06T06:53:17.041682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:17.277225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

CURSO_SUPERIOR_FAMILIA
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
326682 
B
158827 
ValueCountFrequency (%) 
A32668259.6%
 
B15882729.0%
 
(Missing)6261811.4%
 
2020-10-06T06:53:17.483087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:17.654956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:17.845441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1
Distinct5
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
B
228068 
C
132818 
D
46075 
A
42051 
E
36497 
ValueCountFrequency (%) 
B22806841.6%
 
C13281824.2%
 
D460758.4%
 
A420517.7%
 
E364976.7%
 
(Missing)6261811.4%
 
2020-10-06T06:53:18.079760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:18.251594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:18.474309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

MOTIVO_ESCOLHA_CURSO
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
152334 
E
122432 
C
84547 
H
76052 
B
32200 
Other values (3)
17944 
ValueCountFrequency (%) 
A15233427.8%
 
E12243222.3%
 
C8454715.4%
 
H7605213.9%
 
B322005.9%
 
F83401.5%
 
D65171.2%
 
G30870.6%
 
(Missing)6261811.4%
 
2020-10-06T06:53:18.708629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:19.040794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:19.275075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.228479896
Min length1

MOTIVO_ESCOLHA_IES
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing310878
Missing (%)56.7%
Memory size4.2 MiB
C
85612 
B
54149 
A
50449 
E
36088 
D
10951 
ValueCountFrequency (%) 
C8561215.6%
 
B541499.9%
 
A504499.2%
 
E360886.6%
 
D109512.0%
 
(Missing)31087856.7%
 
2020-10-06T06:53:19.512357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T06:53:19.684232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:53:19.909793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length2.134328358
Min length1

RELACAO_PROFESSOR_ALUNO
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69537
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean4.881763096
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:20.094448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.38294441
Coefficient of variation (CV)0.2832878988
Kurtosis1.061212836
Mean4.881763096
Median Absolute Deviation (MAD)1
Skewness-1.32449217
Sum2336363
Variance1.912535241
MonotocityNot monotonic
2020-10-06T06:53:20.297566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
621684439.6%
 
511935921.8%
 
47261313.2%
 
3320575.8%
 
1235534.3%
 
2141642.6%
 
(Missing)6953712.7%
 
ValueCountFrequency (%) 
1235534.3%
 
2141642.6%
 
3320575.8%
 
47261313.2%
 
511935921.8%
 
ValueCountFrequency (%) 
621684439.6%
 
511935921.8%
 
47261313.2%
 
3320575.8%
 
2141642.6%
 

DEDICACAO_ESTUDOS
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing65972
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean5.151567442
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:20.473470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.248727541
Coefficient of variation (CV)0.2423975917
Kurtosis2.803575009
Mean5.151567442
Median Absolute Deviation (MAD)0
Skewness-1.774753181
Sum2483854
Variance1.559320472
MonotocityNot monotonic
2020-10-06T06:53:20.676518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
626509148.4%
 
511614621.2%
 
4537239.8%
 
3212063.9%
 
1179103.3%
 
280791.5%
 
(Missing)6597212.0%
 
ValueCountFrequency (%) 
1179103.3%
 
280791.5%
 
3212063.9%
 
4537239.8%
 
511614621.2%
 
ValueCountFrequency (%) 
626509148.4%
 
511614621.2%
 
4537239.8%
 
3212063.9%
 
280791.5%
 

UTILIZACAO_TICS
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing77333
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean5.074497551
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:20.863972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.345642471
Coefficient of variation (CV)0.2651774796
Kurtosis1.918462088
Mean5.074497551
Median Absolute Deviation (MAD)0
Skewness-1.616986227
Sum2389043
Variance1.810753659
MonotocityNot monotonic
2020-10-06T06:53:21.054503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
625807047.1%
 
510162318.5%
 
4532569.7%
 
3248654.5%
 
1210713.8%
 
2119092.2%
 
(Missing)7733314.1%
 
ValueCountFrequency (%) 
1210713.8%
 
2119092.2%
 
3248654.5%
 
4532569.7%
 
510162318.5%
 
ValueCountFrequency (%) 
625807047.1%
 
510162318.5%
 
4532569.7%
 
3248654.5%
 
2119092.2%
 

QTDE_FUNCIONARIOS_IES
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing74628
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean4.896219422
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:21.241957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.452627116
Coefficient of variation (CV)0.2966834186
Kurtosis0.9275266914
Mean4.896219422
Median Absolute Deviation (MAD)1
Skewness-1.35411502
Sum2318355
Variance2.110125539
MonotocityNot monotonic
2020-10-06T06:53:21.429416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
623276142.5%
 
510481819.1%
 
46104611.1%
 
3314685.7%
 
1277015.1%
 
2157052.9%
 
(Missing)7462813.6%
 
ValueCountFrequency (%) 
1277015.1%
 
2157052.9%
 
3314685.7%
 
46104611.1%
 
510481819.1%
 
ValueCountFrequency (%) 
623276142.5%
 
510481819.1%
 
46104611.1%
 
3314685.7%
 
2157052.9%
 

PESSOAL_APOIO_IES
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing94765
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean4.688008699
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:21.605249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.603922272
Coefficient of variation (CV)0.3421329555
Kurtosis0.05117412575
Mean4.688008699
Median Absolute Deviation (MAD)1
Skewness-1.103176389
Sum2125365
Variance2.572566653
MonotocityNot monotonic
2020-10-06T06:53:21.808326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
620559437.5%
 
59280016.9%
 
46085111.1%
 
1388747.1%
 
3350376.4%
 
2202063.7%
 
(Missing)9476517.3%
 
ValueCountFrequency (%) 
1388747.1%
 
2202063.7%
 
3350376.4%
 
46085111.1%
 
59280016.9%
 
ValueCountFrequency (%) 
620559437.5%
 
59280016.9%
 
46085111.1%
 
3350376.4%
 
2202063.7%
 

INFRAESTRUTURA_SALAS_IES
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing73402
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean4.882359261
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:21.995783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4411343
Coefficient of variation (CV)0.2951717034
Kurtosis0.8714643016
Mean4.882359261
Median Absolute Deviation (MAD)1
Skewness-1.324030572
Sum2317778
Variance2.07686807
MonotocityNot monotonic
2020-10-06T06:53:22.187433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
622779241.6%
 
510826819.8%
 
46300111.5%
 
3326095.9%
 
1262554.8%
 
2168003.1%
 
(Missing)7340213.4%
 
ValueCountFrequency (%) 
1262554.8%
 
2168003.1%
 
3326095.9%
 
46300111.5%
 
510826819.8%
 
ValueCountFrequency (%) 
622779241.6%
 
510826819.8%
 
46300111.5%
 
3326095.9%
 
2168003.1%
 

RECURSOS_AULAS_PRATICAS
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing103707
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean4.87600018
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:22.374889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.476631037
Coefficient of variation (CV)0.3028365428
Kurtosis0.8347281017
Mean4.87600018
Median Absolute Deviation (MAD)1
Skewness-1.337890969
Sum2166992
Variance2.18043922
MonotocityNot monotonic
2020-10-06T06:53:22.565198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
621749039.7%
 
59797617.9%
 
45658410.3%
 
3290655.3%
 
1279695.1%
 
2153362.8%
 
(Missing)10370718.9%
 
ValueCountFrequency (%) 
1279695.1%
 
2153362.8%
 
3290655.3%
 
45658410.3%
 
59797617.9%
 
ValueCountFrequency (%) 
621749039.7%
 
59797617.9%
 
45658410.3%
 
3290655.3%
 
2153362.8%
 

LOCAIS_AULAS_PRATICAS
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing110692
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean4.895943397
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:22.752694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.460392364
Coefficient of variation (CV)0.2982862026
Kurtosis0.9515435191
Mean4.895943397
Median Absolute Deviation (MAD)1
Skewness-1.368072719
Sum2141657
Variance2.132745858
MonotocityNot monotonic
2020-10-06T06:53:22.940112image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
621526239.3%
 
59799817.9%
 
45511610.1%
 
3281775.1%
 
1266644.9%
 
2142182.6%
 
(Missing)11069220.2%
 
ValueCountFrequency (%) 
1266644.9%
 
2142182.6%
 
3281775.1%
 
45511610.1%
 
59799817.9%
 
ValueCountFrequency (%) 
621526239.3%
 
59799817.9%
 
45511610.1%
 
3281775.1%
 
2142182.6%
 

RECURSOS_BIBLIOTECA_IES
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80579
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.931775989
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:23.131675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.434927949
Coefficient of variation (CV)0.2909556216
Kurtosis1.109656322
Mean4.931775989
Median Absolute Deviation (MAD)0
Skewness-1.409659801
Sum2305842
Variance2.059018217
MonotocityNot monotonic
2020-10-06T06:53:23.319173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
623454242.8%
 
510463319.1%
 
45790110.6%
 
3291565.3%
 
1262794.8%
 
2150372.7%
 
(Missing)8057914.7%
 
ValueCountFrequency (%) 
1262794.8%
 
2150372.7%
 
3291565.3%
 
45790110.6%
 
510463319.1%
 
ValueCountFrequency (%) 
623454242.8%
 
510463319.1%
 
45790110.6%
 
3291565.3%
 
2150372.7%
 

BIBLIOTECA_VIRTUAL
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing103082
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean4.943457403
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:23.506588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.519777877
Coefficient of variation (CV)0.3074321782
Kurtosis1.067406914
Mean4.943457403
Median Absolute Deviation (MAD)0
Skewness-1.466883427
Sum2200061
Variance2.309724796
MonotocityNot monotonic
2020-10-06T06:53:23.698180image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
624066343.9%
 
58771616.0%
 
4466648.5%
 
1331116.0%
 
3239544.4%
 
2129372.4%
 
(Missing)10308218.8%
 
ValueCountFrequency (%) 
1331116.0%
 
2129372.4%
 
3239544.4%
 
4466648.5%
 
58771616.0%
 
ValueCountFrequency (%) 
624066343.9%
 
58771616.0%
 
4466648.5%
 
3239544.4%
 
2129372.4%
 

INFRAESTRUTURA_GERAL_IES
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80283
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean4.922572481
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-10-06T06:53:23.885597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.488733493
Coefficient of variation (CV)0.3024299791
Kurtosis0.8640140357
Mean4.922572481
Median Absolute Deviation (MAD)0
Skewness-1.376231049
Sum2302996
Variance2.216327412
MonotocityNot monotonic
2020-10-06T06:53:24.233318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
624619844.9%
 
59095416.6%
 
4539089.8%
 
3307015.6%
 
1288635.3%
 
2172203.1%
 
(Missing)8028314.6%
 
ValueCountFrequency (%) 
1288635.3%
 
2172203.1%
 
3307015.6%
 
4539089.8%
 
59095416.6%
 
ValueCountFrequency (%) 
624619844.9%
 
59095416.6%
 
4539089.8%
 
3307015.6%
 
2172203.1%
 

Interactions

2020-10-06T06:49:40.328710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:40.768285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:41.147185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:41.490854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:41.853194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:42.200935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:42.544565image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:42.923644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:43.271383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:43.646291image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:44.008436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:44.387596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:44.748132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:45.094596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:45.457015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:45.804659image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:46.163950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:46.511788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:46.873925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:47.217556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:47.581149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:47.928770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:48.288058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:48.650295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:49.138673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:49.509881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:49.861385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:50.223635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:50.571309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:50.961841image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:51.309674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:51.687529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:52.062444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:52.425813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:52.791885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:53.166795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:53.543130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:53.921000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:54.284381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:54.659293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:55.022724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:55.400632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:55.759920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:56.123406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:56.502232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:56.861520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:57.223800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:57.587165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:57.946458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:58.294257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:58.640790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:59.015701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:59.504166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:49:59.883149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:00.262198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:00.638819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:00.999318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:01.378320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:01.741681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:02.100969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:02.463261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:02.826664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:03.201576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:03.565064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:03.927166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:04.286494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:04.649890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:05.013220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:05.372511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:05.734780image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:06.113830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:50:06.477123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-06T06:52:38.828604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:52:39.190784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-06T06:53:24.467636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-06T06:53:24.939301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-06T06:53:25.365193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-06T06:53:25.822262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2020-10-06T06:53:26.434423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2020-10-06T06:52:41.849088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:52:46.300402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:52:54.483319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T06:52:57.973590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

CODIGO_IESCATEGORIA_ADMINISTRATIVA_IESORGANIZACAO_ACADEMICA_IESCODIGO_CURSOMODALIDADE_CURSOMUNICIPIO_CURSOUNIDADE_FEDERATIVA_CURSOREGIAO_CURSOIDADE_ESTUDANTESEXO_ESTUDANTEANO_CONCLUSAO_ENS_MEDIOANO_INICIO_GRADUACAOTURNO_CURSOESTADO_CIVIL_ESTUDANTECOR_RACA_ESTUDANTEESCOLARIDADE_PAI_ESTUDANTEESCOLARIDADE_MAE_ESTUDANTERESIDENCIA_ESTUDANTECOMPANHIA_RESIDENCIA_ESTUDANTERENDA_FAMILIA_ESTUDANTESITUACAO_FINANCEIRA_ESTUDANTESITUACAO_TRABALHO_ESTUDANTEBOLSA_ESTUDO_ESTUDANTEAUXILIO_PERMANENCIA_ESTUDANTEBOLSA_ACADEMICA_ESTUDANTEACAO_AFIRMATIVA_ESTUDANTEUNIDADE_FEDERATIVA_ESC_ENS_MEDIOCATEGORIA_ESCOLA_ENS_MEDIOMODALIDADE_ENS_MEDIOINCENTIVO_CURSOAPOIO_DIFICULDADES_ESTUDANTECURSO_SUPERIOR_FAMILIAHORAS_ESTUDO_SEMANA_ESTUDANTEMOTIVO_ESCOLHA_CURSOMOTIVO_ESCOLHA_IESRELACAO_PROFESSOR_ALUNODEDICACAO_ESTUDOSUTILIZACAO_TICSQTDE_FUNCIONARIOS_IESPESSOAL_APOIO_IESINFRAESTRUTURA_SALAS_IESRECURSOS_AULAS_PRATICASLOCAIS_AULAS_PRATICASRECURSOS_BIBLIOTECA_IESBIBLIOTECA_VIRTUALINFRAESTRUTURA_GERAL_IES
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513561000310020471161354660335322M20142015.04.0AADDAAFCEHAAA35.0AABFBCBNaN6.06.06.06.05.06.06.06.06.06.05.0
613561000310020471161354660335322M20142015.04.0AADFBDEDEHABA35.0AABHADCNaN6.06.06.06.06.06.06.06.06.06.06.0
713561000310020471161354660335322F20142015.04.0AADDBDCCAHABA35.0AABIBCENaN6.06.06.06.06.06.06.06.06.06.06.0
813561000310020471161354660335325M20112015.04.0AACCBEBEEGAAA35.0AABCACCNaN6.06.06.06.06.06.06.06.06.06.06.0
913561000310020471161354660335321F20142015.04.0ADCCBECBAHADA35.0AABHBDANaN6.06.06.06.06.06.06.06.06.06.06.0

Last rows

CODIGO_IESCATEGORIA_ADMINISTRATIVA_IESORGANIZACAO_ACADEMICA_IESCODIGO_CURSOMODALIDADE_CURSOMUNICIPIO_CURSOUNIDADE_FEDERATIVA_CURSOREGIAO_CURSOIDADE_ESTUDANTESEXO_ESTUDANTEANO_CONCLUSAO_ENS_MEDIOANO_INICIO_GRADUACAOTURNO_CURSOESTADO_CIVIL_ESTUDANTECOR_RACA_ESTUDANTEESCOLARIDADE_PAI_ESTUDANTEESCOLARIDADE_MAE_ESTUDANTERESIDENCIA_ESTUDANTECOMPANHIA_RESIDENCIA_ESTUDANTERENDA_FAMILIA_ESTUDANTESITUACAO_FINANCEIRA_ESTUDANTESITUACAO_TRABALHO_ESTUDANTEBOLSA_ESTUDO_ESTUDANTEAUXILIO_PERMANENCIA_ESTUDANTEBOLSA_ACADEMICA_ESTUDANTEACAO_AFIRMATIVA_ESTUDANTEUNIDADE_FEDERATIVA_ESC_ENS_MEDIOCATEGORIA_ESCOLA_ENS_MEDIOMODALIDADE_ENS_MEDIOINCENTIVO_CURSOAPOIO_DIFICULDADES_ESTUDANTECURSO_SUPERIOR_FAMILIAHORAS_ESTUDO_SEMANA_ESTUDANTEMOTIVO_ESCOLHA_CURSOMOTIVO_ESCOLHA_IESRELACAO_PROFESSOR_ALUNODEDICACAO_ESTUDOSUTILIZACAO_TICSQTDE_FUNCIONARIOS_IESPESSOAL_APOIO_IESINFRAESTRUTURA_SALAS_IESRECURSOS_AULAS_PRATICASLOCAIS_AULAS_PRATICASRECURSOS_BIBLIOTECA_IESBIBLIOTECA_VIRTUALINFRAESTRUTURA_GERAL_IES
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5481193221000510028698461355030835324F20122013.04.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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5481213221000510028698461355030835323M20132014.01.0ABFEBEBBAHAAA35.0AABAAAANaN4.04.04.05.04.06.06.06.06.02.06.0
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Duplicate rows

Most frequent

CODIGO_IESCATEGORIA_ADMINISTRATIVA_IESORGANIZACAO_ACADEMICA_IESCODIGO_CURSOMODALIDADE_CURSOMUNICIPIO_CURSOUNIDADE_FEDERATIVA_CURSOREGIAO_CURSOIDADE_ESTUDANTESEXO_ESTUDANTEANO_CONCLUSAO_ENS_MEDIOANO_INICIO_GRADUACAOTURNO_CURSOESTADO_CIVIL_ESTUDANTECOR_RACA_ESTUDANTEESCOLARIDADE_PAI_ESTUDANTEESCOLARIDADE_MAE_ESTUDANTERESIDENCIA_ESTUDANTECOMPANHIA_RESIDENCIA_ESTUDANTERENDA_FAMILIA_ESTUDANTESITUACAO_FINANCEIRA_ESTUDANTESITUACAO_TRABALHO_ESTUDANTEBOLSA_ESTUDO_ESTUDANTEAUXILIO_PERMANENCIA_ESTUDANTEBOLSA_ACADEMICA_ESTUDANTEACAO_AFIRMATIVA_ESTUDANTEUNIDADE_FEDERATIVA_ESC_ENS_MEDIOCATEGORIA_ESCOLA_ENS_MEDIOMODALIDADE_ENS_MEDIOINCENTIVO_CURSOAPOIO_DIFICULDADES_ESTUDANTECURSO_SUPERIOR_FAMILIAHORAS_ESTUDO_SEMANA_ESTUDANTEMOTIVO_ESCOLHA_CURSOMOTIVO_ESCOLHA_IESRELACAO_PROFESSOR_ALUNODEDICACAO_ESTUDOSUTILIZACAO_TICSQTDE_FUNCIONARIOS_IESPESSOAL_APOIO_IESINFRAESTRUTURA_SALAS_IESRECURSOS_AULAS_PRATICASLOCAIS_AULAS_PRATICASRECURSOS_BIBLIOTECA_IESBIBLIOTECA_VIRTUALINFRAESTRUTURA_GERAL_IEScount
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2593741181002079401355030835322F20132014.04.0AAAAAAAAAAAAA12.0AAAAAAAA1.01.01.01.01.01.01.01.01.01.01.016
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